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SolidWorks, CAD, Altium, Robotics Hardware and Software

Location:
Folsom, CA
Salary:
80000
Posted:
May 04, 2017

Contact this candidate

Resume:

Personal

ADDRESS

**** ********* **, *** ****

Folsom, CA 95630, USA

MAIL

acz5dz@r.postjobfree.com

acz5dz@r.postjobfree.com

CONTACT

Tel: +1-774-***-****

Skype: aniket.shah5912

LinkedIn: aniketbshah

Skills

LANGUAGES

C++, Python, Java

SOFTWARE

ROS, OpenCV, OpenCL

MATLAB, Simulink

SolidWorks, AutoCAD

Altium, OrCAD

LaTeX, COMSOL

TensorFlow, OptiTrak

HARDWARE

Raspberry Pi, Arduino

Intel Galileo, Edison

ATmega microcontrollers

Laser Cutter, 3D Printer

CNC-machining

OTHER SKILLS

Windows, Linux

Version control

Coursework

MASTERS

Robot Control

Robot Dynamics

Model-Based Design

Computer Vision

Motion Planning

BACHELORS

Neural Networks

Fuzzy Logic

Micro-controllers &

processors

Image Processing

Principles of

Control-Systems

Interests

PROTOTYPING

ROBOT CONTROLS

LEGGED-ROBOTICS

COMPUTER VISION

SENSORS

Aniket Shah

Education

M.S. in Robotics Engineering

May 2016, GPA: 3.2

Worcester Polytechnic Institute (WPI), Worcester, MA, USA B.E. in Electronics and Telecommunications Engineering June 2014, GPA: 3.35

University of Mumbai (MU), Mumbai, India

Experience

Independent Contractor (Software) Nov 2016 - Present Scalable Systems Research Labs, Inc.

Developing C++ based codes for the integration of OpenCL and SYCL with TensorFlow for machine learning based computer vision systems.

Testing other AI/ML/DL/HPC frameworks with OpenCL compatibility for similar applications.

Learning: Machine Learning, TensorFlow, OpenCL

Projects

Stereo Vision based Object Tracking Jan - Apr 2016

Designed and built a 5 bar linkage (using lab resources) to control the pan and focus for a MATLAB based stereo vision system.

Used the Computer Vision toolbox to calibrate and sync two cameras, detect & track objects in a cluttered environment and provide depth estimation.

Learning: MATLAB CV Toolbox, Depth estimation, 3D scene reconstruction Robotic Foot for Sand Walking Jan - Apr 2016

Designed and constructed an air-fluidized testbed with various 3D printed feet to test sink and lateral slip measurements on sand.

Provided a comparative quantitative and qualitative analysis of the same with biologically in- spired feet designs along with a hybrid solution for robot foot designs for walking on sand.

Learning: Testbed design, 3D printing, leg-ground physics Soft Body Force Sensors Jan - Aug 2015

Implemented single-axis force sensors from design and simulation phase based on the Hall-effect principle.

Sensors were embedded into soft bodies to measure bending angles and forces along the z-axis.

Also designed and implemented tri-axis force sensors and 3x3 single-axis force sensor array.

Learning: COMSOL, Altium, Layout design, calibration DARPA Robotics Challenge (DRC) - Door Task Sept - Nov 2014

Developed a Lidar and Stereo camera based door detection and tracking algorithm in C++ for the DRC Door Task using the ATLAS (Humanoid) robot.

The algorithm employed color, feature matching on the lidar generated cloud map and 3D environment from the stereo camera system in OpenCV to detect a generic door in an outdoor environment.

Learning: Lidar, OpenCV, PCL, Feature matching

Weather Wardrobe Coordinator Sept - Nov 2014

Designed a clothing recommendation system based on the weather conditions, updated wardrobe collection and user preferences using model-based-design techniques.

Implemented the recommendation system using Fuzzy concepts in C++ on an Intel Galileo Board for an Intel sponsored project.

Learning: Embedded systems, Model based design, SSH, Intel Galileo, Putty All Terrain Quadruped Jan - May 2014

Designed and implemented an omni-directional quadruped robot prototype for walking on rough terrain.

The robot was designed in SolidWorks, built using Aluminum sheets and controlled using voice commands.

Developed the voice recognition using visual basic & also developed a MATLAB and Arduino based GUI to individually control and tune all segments for each leg as well as the entire body.

Learning: SolidWorks, Visual Studio, Voice recognition, legged robotics



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